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Paper Citation Record · LEDGER

Towards interactive evaluations for interaction harms in human-AI systems

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2405.10632.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.10632 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:33.138738Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 26a1c133-a279-44d1-8a88-18b1768f4479 · inbound

Dimensions of Generative AI Evaluation Design cites this paper.

Dimensions of Generative AI Evaluation Design Towards interactive evaluations for interaction harms in human-AI systems

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:21.906415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:21.906415Z digest=sha256:f753a323074b7e19c2f9e3e681b38374f69b6200d59e6143ccf4d01ea3b61457

Observation a9b062df-f134-45f0-b506-8513da74d457 · inbound

Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation cites this paper.

Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation Towards interactive evaluations for interaction harms in human-AI systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T17:12:57.287184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:12:57.287184Z digest=sha256:29e8efa613c5e7db8ddfc43d56369770a2d936756241c2cfabed5971939a1806

Observation 62052490-b15b-4983-a71a-66a4e9386d07 · inbound

LearnLM: Improving Gemini for Learning cites this paper.

LearnLM: Improving Gemini for Learning Towards interactive evaluations for interaction harms in human-AI systems

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T10:40:18.499011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:40:18.499011Z digest=sha256:cb94de0bc94f7aa8e2bdddf225ea84d11deaa00fdc39d68e71e14b20f580f17f

Observation ab99810a-6080-4aa0-8dd8-cc90f9338cbb · inbound

Why human-AI relationships need socioaffective alignment cites this paper.

Why human-AI relationships need socioaffective alignment Towards interactive evaluations for interaction harms in human-AI systems

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-09T11:53:43.654992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:53:43.654992Z digest=sha256:b566044cd7d023266277ca82764198755faaf8b8cddbe4dd13cc6c52039e638a

Observation d9fd3416-2d6c-4f57-abf6-faddc7eb8144 · inbound

Aspirational Affordances of AI cites this paper.

Aspirational Affordances of AI Towards interactive evaluations for interaction harms in human-AI systems

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T11:30:33.138738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:30:33.138738Z digest=sha256:87aa23efe736754da8d9a83268b73466356d3fbe8586af26381eee80a520df0d

Observation 1db5c5fa-f7be-4745-9627-5762ffc1a87d · inbound

Real-World Gaps in AI Governance Research cites this paper.

Real-World Gaps in AI Governance Research Towards interactive evaluations for interaction harms in human-AI systems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T04:53:11.738765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:53:11.738765Z digest=sha256:7c482f1962ae35b13dece44c8e63798f91d6960a3eec4d90ec1df2e56aa77ece

Observation 4909ea3f-0abe-4c32-a650-9a78a0ed4c33 · inbound

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions cites this paper.

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions Towards interactive evaluations for interaction harms in human-AI systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:43:46.407786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:43:46.407786Z digest=sha256:bd14f57a9ac38b6016cd32e7497298568982039e801bf5f4211b7c462ce3a365

Observation 5e5a9e07-e953-4034-b09b-8b914295f628 · inbound

Benchmarking Misuse Mitigation Against Covert Adversaries cites this paper.

Benchmarking Misuse Mitigation Against Covert Adversaries Towards interactive evaluations for interaction harms in human-AI systems

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:32:14.698786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T10:29:05.104520Z digest=sha256:469a40f922691c1ed9452c8973074e5f1a224215f7c137a42be35b788cac3700

Observation 099095ce-d0ee-4835-ab59-06ea1161a122 · inbound

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code cites this paper.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Towards interactive evaluations for interaction harms in human-AI systems

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T16:26:52.967518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:52.967518Z digest=sha256:e6c03f13855c0b6bbf37d71e8e2c4d38d1cb82fe99be12cf3a4ac16e0face897

Observation 6934b0f4-869b-4346-957b-c4bc5fdd6fcf · inbound

Measuring and mitigating overreliance to build human-compatible AI cites this paper.

Measuring and mitigating overreliance to build human-compatible AI Towards interactive evaluations for interaction harms in human-AI systems

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:40:43.354589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T22:37:37.267715Z digest=sha256:42b13d057b66ccfdc607bc201dc80ffd5f95c4ba108cccb8303deca4cdffe377

Observation 634a7496-4a61-4b54-9ae7-01197c2b8530 · inbound

Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild cites this paper.

Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild Towards interactive evaluations for interaction harms in human-AI systems

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:27:47.886634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T11:26:38.634540Z digest=sha256:3f0188dad8746416a1add0ea010ff555b76a2fd60784540ce61a840efaf16101

Observation 72a98040-170a-46df-a465-8db5b3995788 · inbound

Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles cites this paper.

Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles Towards interactive evaluations for interaction harms in human-AI systems

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T06:03:08.889795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T05:54:39.899517Z digest=sha256:33817cbf12dc711eb8652569879c3b8b5b29675e3c78e50cd546f80db4068c69